Neural and Adaptive Systems: Fundamentals through Simulations (Paperback)

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Review
I would like to send you my very best congratulations to an extremely comprehensive and pedagogical book on neural systems. After more than 20 years in satellite remote sensing I found your book bringing together most of the different remote sensing analysis tools and methods used in a new and very systematic way. I have been trying to introduce the use of ANN techniques into our projects on forest classification and forest inventory applications combining ground sample measurements with airborne photos and satellite remote sensing in a hierarchical fashion. I found the Neuro Solutions software to be the most easily and yet flexible tool on the market. The problem has been to fully understand the tool and methods. Most courses on Neural Network techniques found in Sweden and all over Europe seem to be very technical. You need to be a C or C++ programmer, which I'm not. Also, most of the books on neural networks are very technical, describing only the different topologies and training methods but not a more general feeling of the practical use and opimal designs for different applications. The strengths of your book is the combination of a comprehensive and pedagicical description. A systematic building of the stastistical aspects and theory combined with the interactive hands on experience from running the examples. I got the book in my hand on friday afternoon (Dec 17, 1999) fresh from the print, and spent most of the weekend reading and running the examples. I like your approach from the "user" point of view. It is the first complete description (as far as I know) giving answers to most of my questions and thoughts on statistical methods, neural networks and classification. I will certainly recommend it to all my collegues in the field. -- Mats Rosengren, MSc Engineering Physics Project Manager, Remote Sensing Forest Applications Satellus AB, Swedish Space Corporation Group

Product Description
Develop New Insight into the Behavior of Adaptive Systems This one-of-a-kind interactive book and CD-ROM will help you develop a better understanding of the behavior of adaptive systems. Developed as part of a project aimed at innovating the teaching of adaptive systems in science and engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling/prediction. The text is integrated with the industry standard neural network/adaptive system simulator NeuroSolutions. This allows the authors to demonstrate and reinforce key concepts using over 200 interactive examples. Each of these examples is 'live,' allowing the user to change parameters and experiment first-hand with real-world adaptive systems. This creates a powerful environment for learning through both visualization and experimentation. Key Features of the Text
* The text and CD combine to become an interactive learning tool.
* Emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations.
* Each key concept is followed by an interactive example.
* Over 200 fully functional simulations of adaptive systems are included.
* The text and CD offer a unified view of neural networks, adaptive filters, pattern recognition, and support vector machines.
* Hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts.
The CD-ROM Contains:
* A complete, electronic version of the text in hypertext format
* NeuroSolutions, an industry standard, icon-based neural network/adaptive system simulator
* A tutorial on how to use NeuroSolutions
* Additional data files to use with the simulator
"An innovative approach to describing neurocomputing and adaptive learning systems from a perspective which unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight." -James Zeidler, University of California, San Diego

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First Sentence:
The study of neural and adaptive systems is a unique and growing interdisciplinary field that considers adaptive, distributed, and mostly nonlinear systems-three of the ingredients found in biology. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonparametric training, bias axon, sigmoid axon, static mappers, gamma memory, adaptive linear systems, static backpropagation, quadratic performance surfaces, backpropagation layer, linear combiner, matrix viewer, maximum eigenfilter, interconnection algorithm, linear regressor, tap delay line, recurrent topologies, largest step size, gamma filter, recurrent system, static pattern recognition, signal trajectory, tanh nonlinearity, final weight values, temporal probe, crab data Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Use the Breadboard of Example, Static Controller, Threshold Axon, Springer Verlag, Tanh Axon, Controller Inspector, Englewood Cliffs, Full Synapse, Repeat Problem, Arbitrary Synapse, Matrix Editor, Prentice Hall, Comprehensive Foundation, Linear Scheduler, Morgan Kaufmann, The Nature of Statistical Learning Theory, File List New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!

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7 Reviews 5 star:  (4) 4 star:    (0) 3 star:  (2) 2 star:  (1) 1 star:    (0)           Average Customer Review 4.0 out of 5 stars (7 customer reviews)		Share your thoughts with other customers: Create your own review
Most Helpful Customer Reviews   28 of 30 people found the following review helpful: 5.0 out of 5 stars For a change - a title that delivers what it promises!, December 29, 1999 By  Jenni Gyffyn "1002331154" (Australia) - See all my reviews This has got to be the best textbook I have come across! The amount of thought and care in producing this book is phenomenal. It goes into details very thoroughly, and provides plenty of examples which would easily satisfy the very bright and the very slow. The math in back of all this is ACTUALLY EXPLAINED PROPERLY! Buy the book - it's worth every cent. Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this)   10 of 11 people found the following review helpful: 5.0 out of 5 stars Very Helpful and Practical, September 23, 2001 By  Sydney, Australia - See all my reviews Topics explored in this book include signal processing, feature extraction, linear and non-linear modelling, temporal models and an array of connectionist learning paradigms. These topics are demanding, particularly mathematically, however I have taken a lot from this book where I have had limited success with others. The authors know a great deal about their subject, which has enabled them to take a holistic approach, which explains fundamentals before building them into powerful solutions. Equations, while frequently cited are explained descriptively and often boxed separately from the main text. Learning is greatly enhanced by the 200 interactive tutorials. The NeuroSolutions software (limited version free) is the best I've seen in terms of the number of architectures and data processing algorithms provided and comes with an excel add in! I searched Amazon long and hard for this book and was not disappointed - it sets a new standard for technical education. Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this)   5 of 5 people found the following review helpful: 3.0 out of 5 stars Mindstorms meets NN; same strengths and weaknesses, September 1, 2005 By  John Harpur (Trim, Meath, IRELAND) - See all my reviews (REAL NAME)    I am quite conflicted in my thoughts on this book. The pluses are that it is comprehensive, thorough and comes with a useful pedagogical simulator. The minuses are that it is covers a vast range of subjects with a skimpy coat of mathematical and theoretical glue. When I found myself looking for more maths and theory, the text usually directed me towards the simulation. The simulations are good but the coding is invisible to the user due the range of NN widgets included (analogous to programming using the Lego Mindstorms visual programing tool). This is a downside for those hoping to learning coding techniques - there are not explored here - but will suit users that want a workbench to visualise concepts in the text. I confess that I became bored with the simulator about midway through the book. The authors set themselves a formidable task in producing this book, and depending on the reader's needs thaey have either excelled themselves, or else have concocted a animaed dodo - interesting but near extinction. Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this) Share your thoughts with other customers: Create your own review › See all 7 customer reviews...		Ad feedback   Most Recent Customer Reviews 2.0 out of 5 stars A third or second book the subject Generally I would agree with the reviewer who titled his review "Mindstorms meets NN; same strengths and weaknesses". Read more Published 11 months ago by Jordan Mcbain 5.0 out of 5 stars Excelente Libro Muy buen libro y lo mejor es que trae buenos ejemplos los cuales ayudan bastante en el entendimiento de las redes neuronales. Read more Published on June 2, 2007 by Matías Jory 3.0 out of 5 stars Okay book, not worth the price. The book covers the topics fairly well. Unfortunately, you won't ever use this book outside of a classroom. Read more Published on February 26, 2004 5.0 out of 5 stars The best book for adaptive signal processing This is the best book to learn adaptive signal processing. The authors teach you the spirit of adaptation thorugh simulation played by yourself. Read more Published on March 29, 2000 by jeffchuan Search Customer Reviews Only search this product's reviews › See all 7 customer reviews...

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